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Release 1.2.0: qualification and approved revision recovery - #6
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System1 teaching sessions now support a complete review and recovery lifecycle: freeze a separate independent qualification cohort for an unchanged passing candidate, explicitly adopt the approved artifact, inspect review reasons, and restore retained approved bytes while preserving lessons. The same operations are available in Python, the CLI, and the existing document workspace.
Qualification consumes failed and interrupted cohorts and spends a fixed confidence budget across session attempts. Required qualification is an additional opt-in policy; old development defaults, ridge fitting, core APIs, required dependencies, and saved-skill format remain compatible. Legacy 1.1 sessions reopen without rewriting, with historical approved skills retained on the first new adoption.
Frozen research compared label selection, existing solvers, a cached encoder, and a contrastive projection. Every proposed research capability missed its prospective gates and is omitted. The new sentiment lifecycle trial failed before qualification; a separate historical banking replay verified failed-candidate refusal, adoption, reopening, and exact rollback. Protocol commits, all misses, source restrictions, invalid-cache evidence, and costs remain in Git. Raw corpora and model weights do not enter the distributions.
Validation:
Release notes: docs/releases/1.2.0.md. Existing full-scope assistant and banking gates remain unchanged and unqualified. Sessions remain local single-writer workspaces; independence, representativeness, and supplied-label correctness cannot be established by software.